A lot of people are asking us why we commissioned our recently completed Data Scientist survey. We wanted to separate hype from reality. And who better to ask than the practitioners who have to wrest value from big data every day? Turns out these value wranglers are...

While Big Data enjoys widespread media coverage, not enough attention has been paid to what practitioners think — data scientists who manage and analyze massive volumes of data. We wanted to know, so Paradigm4 teamed up with Innovation Enterprise to ask over 100 data...

This post is part two of a two-part series on why you might care about an array database. Part one, “Why an Array Database?” is recommended reading. Now, a word for you experts out there. We realize that quantitative analysis is complex; and we’ve simplified this use...

This post is part one of a two-part series on why you might care about an array database. Part two is a sample use case demonstrating how an array database really helps perform quantitative analytics on big data. So, let’s start with the database part. After all, you...

Many organizations have realized significant competitive advantages with Big Data, but could do even more with new software paradigms. The financial industry in particular experiences limitations because it depends on complex analytics—particularly matrix math—which...